At a Glance
- Tasks: Design and deliver modern data platform solutions using cutting-edge technologies.
- Company: Leading organisation in investment and finance with a focus on innovation.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: Collaborative culture with excellent career advancement opportunities.
- Why this job: Make a real impact by solving complex data challenges in a dynamic environment.
- Qualifications: Strong SQL, Python skills, and experience with enterprise-scale data platforms.
The predicted salary is between 70000 - 90000 £ per year.
Location: London (Hybrid 3 days onsite)
Contract - Inside IR35 - Initially 6 Months - Investment / Finance / Wealth / Banking related projects
Are you a Lead / Senior data-focused engineer who enjoys designing scalable platforms, solving complex data challenges, and working with modern cloud technologies? We are working with a leading organisation seeking a Principal Data Engineer / Principal Software Engineer to join their Data Technology Platforms team. This is an exciting opportunity for someone who can bridge the gap between data engineering, software development, and enterprise technology solutions.
The role is ideal for someone who understands how organisations use data, the importance of governance and standards, and how to deliver robust solutions at enterprise scale.
The Opportunity
As a Principal Engineer within the Data Platforms team, you will play a key role in designing, developing, and delivering strategic data solutions that support critical business functions. You will work closely with engineers, analysts, testers, and business stakeholders to understand requirements, shape technical solutions, and deliver scalable platforms that enable better use of data across the organisation. This is a hands-on technical role where you will combine strong engineering skills with architectural thinking, helping to shape modern data platforms and supporting the continued evolution of cloud-based solutions.
Key Responsibilities
- Design and deliver modern data platform solutions using industry-leading technologies
- Translate complex business requirements into scalable technical solutions
- Support the full software development lifecycle from analysis through to implementation and production support
- Work collaboratively with engineering teams, analysts, testers, and stakeholders
- Provide technical leadership, guidance, and best practice across data engineering solutions
- Analyse existing processes and identify opportunities for improvement
- Develop solutions that are reliable, maintainable, and aligned with enterprise standards
- Support the delivery of cloud-first data solutions and emerging technologies
What we're looking for
We are looking for a technically strong engineer with experience building and supporting enterprise-scale data platforms. You will ideally have experience with:
- Strong SQL database development experience
- Python development skills
- Azure Data Factory (ADF)
- DBT
- Snowflake development experience
- Data engineering principles and modern data platforms
- Experience working with large datasets and performance optimisation
- DevOps practices including automated deployments and source control
- Azure DevOps, Git, and CI/CD pipelines
- Designing well-structured, tested, and maintainable solutions
Desirable experience
It would be advantageous if you have experience with:
- Financial Services or other highly regulated environments
- Azure cloud technologies
- .NET development experience
- Data governance and data standards
- Agile delivery environments
- Test automation practices such as TDD
- Working with senior stakeholders across technology and business teams
About You
You will be someone who enjoys solving complex problems and taking ownership of technical challenges. You’ll be:
- A strategic thinker with strong technical judgement
- Comfortable working with both technical and non-technical stakeholders
- Passionate about improving data solutions and engineering practices
- Collaborative, proactive, and delivery-focused
- Able to balance long-term technical strategy with immediate business needs
- Someone who enjoys mentoring, sharing knowledge, and helping teams improve
This is an excellent opportunity for a Principal-level engineer who wants to work on meaningful, enterprise-scale data platforms while continuing to develop their technical influence.
Principal Data Engineer / Principal Software Engineer in London employer: Cooper Lomaz Recruitment Services Ltd
Cooper Lomaz Recruitment Services Ltd is an excellent employer, offering a dynamic work culture that prioritises employee development and well-being. With a competitive salary package, including bonuses and generous holiday entitlement, employees can thrive in their roles while enjoying a healthy work-life balance in the vibrant town of Newmarket. The company fosters a supportive environment where skilled professionals can grow their careers in the fast-paced FMCG sector.
Contact Details:
Cooper Lomaz Recruitment Services Ltd Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Principal Data Engineer / Principal Software Engineer in London
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We think you need these skills to ace Principal Data Engineer / Principal Software Engineer in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
